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Dehazing algorithm using adaptive dark channel fusion and sky compensation 被引量:1
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作者 LU Xinxuan YANG Yan 《Journal of Measurement Science and Instrumentation》 CAS CSCD 2021年第2期177-187,共11页
Aiming at the inaccurate transmission estimation problem of dark channel prior image dehazing algorithm in the sudden change area of depth of field and sky area,a dehazing algorithm using adaptive dark channel fusion ... Aiming at the inaccurate transmission estimation problem of dark channel prior image dehazing algorithm in the sudden change area of depth of field and sky area,a dehazing algorithm using adaptive dark channel fusion and sky compensation is proposed.Firstly,according to the characteristics of minimum filtering of large window scale and small window scale in the dark channel prior,the fused dark channel is obtained by weighted fusion of the approximate depth of field relationship,thus obtaining the primary transmission.Secondly,use the down-sampling to optimize the primary transmission combined with gray scale image of haze image by fast joint bilateral filtering,then restore the original image size by up-sampling,and the compensation of the Gaussian function is used in the sky area to obtain corrected transmission.Finally,the improved atmospheric light is combined with atmospheric scattering model to recover haze-free image.Experimental results show that the algorithm can recover a large amount of detailed information of the image,obtain high visibility,and effectively eliminate the halo effect.At the same time,it has a better recovery effect on bright areas such as the sky area. 展开更多
关键词 dark channel prior approximate depth of field weighted fusion fast joint bilateral filtering Gaussian function compensation
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Edge preserving super-resolution algorithm using multi-stage cascaded joint bilateral filter
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作者 Gunnam Suryanarayana Ravindra Dhuli 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2017年第1期37-51,共15页
Super-resolution(SR)algorithms address the inabilities of poor imaging devices,there by producing high quality images with enhanced resolution.We propose a new SR approach which produces sharp high resolution(HR)image... Super-resolution(SR)algorithms address the inabilities of poor imaging devices,there by producing high quality images with enhanced resolution.We propose a new SR approach which produces sharp high resolution(HR)image using its low resolution(LR)counterparts.The proposed method uses geometric duality for spatially adapting covariance-based interpolation(CBI).To preserve edge information,a multi-stage cascaded joint bilateral filter(MSCJBF)is proposed as an intermediary stage.These edges are incorporated in the high frequency subbands obtained by the stationary wavelet transform(SWT),through nearest neighbor interpolation(NNI)method.Prior to the NNI process,the high frequency subbands undergo two-lobed lanczos interpolation to achieve the desired resolution enhancement.The quantitative and qualitative analysis for various test images prove the superiority of our method. 展开更多
关键词 joint bilateral filter image super-resolution covariance based interpolation stationary wavelet transform
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